%0 Journal Article
%T Natural Language Retrieval for Latent Semantic Indexing<br>基于潜语义标引的自然语言检索
%A Tao Yuehua Sun Maosong
%A <br>陶跃华孙茂松
%J 现代图书情报技术
%D 2001
%I 
%X In information retrieval, vector space model is one of significant mathematics tools. Because of the speciality of natural language retrieval (NLR) and the affection of synonym and polysemy in tradition information retrieval model, the precision of retrieval is not high. In order to imporve the precision of NLR, the authors discuss information retrieval model based on concept--Latent Semantic Indexing (LSI), and analysis two examples of LSI.
%K Natural language
%K Information retrieval
%K Semantic indexing<br>自然语言
%K 信息检索
%K 潜语义标引
%K 向量空间模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=55DDDD0F1511D07E&yid=14E7EF987E4155E6&vid=BCA2697F357F2001&iid=94C357A881DFC066&sid=1371F55DA51B6E64&eid=2001E0D53B7B80EC&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=3&reference_num=4